VeriFinger SDK

Fingerprint identification for stand-alone or client-server solutions

VeriFinger is a fingerprint identification technology designed for biometric systems developers and integrators. The technology assures system performance with fast, reliable fingerprint matching in 1-to-1 and 1-to-many modes.

Available as a software development kit that allows development of stand-alone and network-based solutions on Microsoft Windows, Linux, macOS, iOS and Android platforms.

Technical Specifications

500 ppi is the recommended fingerprint image resolution for VeriFinger. The minimal fingerprint image resolution is 250 ppi. Also, the matching algorithm has a special mode for matching different scale fingerprint records, like different image resolutions or age-related changes in finger size.

All fingerprint templates should be loaded into RAM before identification, thus the maximum fingerprint templates database size is limited by the amount of available RAM.

VeriFinger biometric template extraction and matching algorithm is designed to run on multi-core processors allowing to reach maximum possible performance on the used hardware.

VeriFinger 13.0 fingerprint engine specifications
  Embedded / mobile (1)
platform
PC-based (2)
platform
Template extraction components Mobile
Fingerprint
Extractor
Mobile
Fingerprint
Client
Fingerprint
Extractor
Fingerprint
Client
Template extraction time (seconds) 1.34 1.20 1.34 0.60
Template matching components Mobile
Fingerprint Matcher
Fingerprint Matcher
Template matching speed (3)
(fingerprints per second)
3,000 40,000
Single flat/plain fingerprint record size in a template (bytes) 300 - 3,200
(configurable)
Single rolled fingerprint record size in a template (bytes) 1,100 - 6,600
(configurable)

Notes:
(1) Requires to be run on iOS devices or Android devices based on at least Snapdragon S4 system-on-chip with Krait 300 processor (4 cores, 1.51 GHz).
(2) Requires to be run on PC or laptop with at least Intel Core i7-8700K processor.
(3) Speeds are provided for the maximized matching speed scenario. The templates should be extracted from images, which are not larger than 500 x 500 pixels. Setting the matching algorithm to higher accuracy or using templates from larger fingerprint images will require more powerful hardware to reach the specified speed.

Representatives
Neurotechnology Distributors Map Ex-Cle S.A - representative in Argentina FingerSec do Brasil - distributor in Brazil (web site in Portuguese) Distributors in Chile Neurotechnology's Chinese Office (web site in Chinese) Security Systems Ltda - distributor in Colombia (web site in Spanish) General Security El Salvador - distributor in El Salvador (web site in Spanish) Infokey Software Solutions - distributor in Greece (web site in Greek and English) India Branch - Neurotechnology Lab India Fulcrum Biometrics India Pvt. Ltd. - distributor in India Biometric srl - distributor in Italy (web site in Italian) Software Sources Ltd - distributor in Israel Bruce and Brian Co., LTD. - distributor in Korea (web site in Korean) Biosec Solutions - distributor in Nigeria Digital Data Systems (DDS Biometrics) - distributor in Pakistan Ex-Cle S.A - distributor in Paraguay Digital Works - distributor in Peru DigiFace Solutions - distributor in Singapore Fingerprint i.t. - distributor in South Africa Sri Lanka Branch - Neurotechnology Lab Delaney Biometrics - distributor in the UK Fulcrum Biometrics - representative in the USA
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